CN105183840A - Information processing method and information processing device - Google Patents
Information processing method and information processing device Download PDFInfo
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- CN105183840A CN105183840A CN201510557779.1A CN201510557779A CN105183840A CN 105183840 A CN105183840 A CN 105183840A CN 201510557779 A CN201510557779 A CN 201510557779A CN 105183840 A CN105183840 A CN 105183840A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Abstract
The present invention provides an information processing method and an information processing device. The method comprises acquiring historic search volume data of a data object to be processed; acquiring a user attention variation trend of the data object to be processed according to the historic search volume data; generating reference strategy information according to the user attention variation trend; and outputting the reference strategy information, thus to guide a user to process the data object to be processed. A new scheme for the user to process the data object is provided, and user requirements are met.
Description
[technical field]
The present invention relates to Internet technical field, particularly relate to a kind of information processing method and device.
[background technology]
Along with Information technology is advanced by leaps and bounds, network data presents explosive increase, when in the face of mass data object, how user processes (described process can be obtain, delete, upgrade or produce) to data object and becomes according to self-demand is adaptive the key problem that user pays close attention to the most.
Prior art is mainly according to the history service data of data object and the treatment conditions of some settings, and generating reference policy information, processes data object to instruct user.For investment in stocks, mainly based on the historical trading data of stock, such as " share price ", " trading volume ", " average price ", " closing price " etc., generating reference policy information, to buy in stock to instruct user or sells.Generally, the program is simple and easy to use, and user can be instructed to a certain extent to process data object.But, only have at present and rely on this kind of mode of history service data, comparatively dull, need badly a kind of newly be used to guide the scheme that user processes data object.
[summary of the invention]
Many aspects of the present invention provide a kind of information processing method and device, in order to the new departure providing a kind of user of guidance to process data object, to meet consumers' demand.
An aspect of of the present present invention, provides a kind of information recommendation method, comprising:
Obtain the historical search amount data of pending data object;
According to described historical search amount data, obtain user's attention rate variation tendency of described pending data object;
According to described user's attention rate variation tendency, generating reference policy information;
Export described reference policy information, to instruct user, described pending data object is processed.
Another aspect of the present invention, provides a kind of information recommending apparatus, comprising:
First acquisition module, for obtaining the historical search amount data of pending data object;
Second acquisition module, for according to described historical search amount data, obtains user's attention rate variation tendency of described pending data object;
Generation module, for according to described user's attention rate variation tendency, generating reference policy information;
Output module, for exporting described reference policy information, processes described pending data object to instruct user.
In the present invention, based on the historical search amount data of pending data object, obtain user's attention rate variation tendency of pending data object, according to user's attention rate variation tendency, generating reference policy information, export this reference policy information, to instruct user, this pending data object is processed.As can be seen here, the present invention is based on the historical search amount data-guiding user being different from history service data and data object is processed, provide a kind of mode instructing user to process data object newly, meet consumers' demand.
[accompanying drawing explanation]
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The schematic flow sheet of the information processing method that Fig. 1 provides for one embodiment of the invention;
The curve synoptic diagram of the historical search amount Plotting data according to stock that Fig. 2 provides for one embodiment of the invention;
The schematic diagram of the EMA line of user's attention rate variation tendency of the reflection stock that Fig. 3 a provides for one embodiment of the invention;
The volatility schematic diagram of the stock that Fig. 3 b provides for one embodiment of the invention;
The schematic diagram of the MACD line of user's attention rate variation tendency of the reflection stock that Fig. 4 provides for one embodiment of the invention;
The schematic diagram of the MACD line of user's attention rate variation tendency of stock, DIFF line and DEA line is reflected in the MACD interleaved scheme that Fig. 5 provides for one embodiment of the invention;
A RSI line of user's attention rate variation tendency of stock and the schematic diagram of the 2nd RSI line is reflected in the RSI interleaved scheme that Fig. 6 provides for one embodiment of the invention;
The structural representation of the signal conditioning package that Fig. 7 provides for one embodiment of the invention;
The structural representation of the signal conditioning package that Fig. 8 provides for another embodiment of the present invention.
[embodiment]
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The schematic flow sheet of the information processing method that Fig. 1 provides for one embodiment of the invention.As shown in Figure 1, the method comprises:
101, the historical search amount data of pending data object are obtained.
102, according to above-mentioned historical search amount data, user's attention rate variation tendency of pending data object is obtained.
103, according to above-mentioned user's attention rate variation tendency, generating reference policy information.
104, export above-mentioned reference policy information, to instruct user, pending data object is processed.
The present embodiment provides a kind of information processing method, can be performed by signal conditioning package, in order to the historical search amount data-guiding user based on data object, data object is processed, thus a kind of mode instructing user to process data object is newly provided.
First illustrate, the present embodiment is called pending data object by needing the data object instructing user to carry out processing.The present embodiment does not limit the form of pending data object, such as, can be merchandise items, and such as mobile phone, computer, books, clothes or cosmetics etc., can also be the stage property in types of applications, also can be various financial product, such as stock or fund etc.
Along with the development of search engine technique, user can search for the information such as news, information or the interested data object of user by search engine.Wherein, by analyzing search daily record, and in conjunction with the mark of data object, such as title, code etc., can obtain the volumes of searches of arbitrary data object in arbitrary period, can referred to as historical search amount data.Stock for pending data object, then can by analyzing search daily record, and in conjunction with the title of pending stock and code, can obtain and often prop up the volumes of searches data of stock in arbitrary period.Such as, the stock of the stock markets of Shanghai code 600036 of China Merchants Bank in the volumes of searches data of every day on June 8,20 days to 2015 October in 2014, as shown in Figure 2.
Pending data object reflects the degree that this pending data object paid close attention to by user, referred to as user's attention rate to a certain extent in the volumes of searches data of a certain period.Present inventor considers a problem in actual application: whether these volumes of searches data can be converted to reference policy information when processing this pending data object to user.For solving this problem, inventor has carried out a series of research to mass data object, the correlativity between the historical search amount data of main research different pieces of information object and the history service data of this data object.
For stock, the history service data of stock mainly refer to historical stock price.Inventor is by June 8 ,-2015 years on the 20th October in 2014, and the A-share correlativity that totally 2733 stock carries out between volumes of searches data and share price in Shanghai and Shenzhen is analyzed, and find that the volumes of searches of the stock of 97.4% and share price are proportionate, average correlation is 0.607.Higher positive correlation demonstrates stock invester and there is very strong contacting to the attention rate of personal share and share price, and when personal share stock price rising, its volumes of searches also can rise usually accordingly.As can be seen here, volumes of searches data are the same with stock price information can give user the guidance of trading security, and therefore can trade security based on historical search amount data-guiding user.
Process is to the research of the correlativity between the historical search amount data of mass data object and history service data, and inventor finds: have certain correlativity between the historical search amount data of data object and history service data.So the present embodiment can based on the historical search amount data of pending data object, and generating reference policy information, processes pending data object to instruct user.
Concrete, signal conditioning package, after the historical search amount data obtaining pending data object, according to the historical search amount data of pending data object, can obtain user's attention rate variation tendency of pending data object; According to user's attention rate variation tendency of pending data object, generating reference policy information, exports this reference policy information afterwards, processes pending data object to instruct user.
What deserves to be explained is, according to the difference of pending data object, the historical search amount data that different historical period may be needed to produce.Such as, can be the historical search amount data that this historical period of historical juncture A to historical juncture B produces, or also can be the historical search amount data that historical juncture A produces to this historical period of current time.
From above-mentioned, the present embodiment adopts the historical search amount data genaration reference policy information of data object, is different from history service data of the prior art, provides a kind of mode instructing user to process data object newly, meet consumers' demand.
In an Alternate embodiments, in the historical search amount data according to pending data object, before obtaining user's attention rate variation tendency of pending data object, can also filter historical search amount data, to remove the volumes of searches data produced in non-effective historical period.Still for stock, stock is general only concludes the business on weekdays, then can be described as the day of trade on working day, and generally do not conclude the business in day Saturday and legal festivals and holidays, therefore day Saturday and legal festivals and holidays can be described as nontransaction day.Wherein, compared with the volumes of searches in nontransaction day, the attention rate of user to stock more can be highlighted in the volumes of searches of the day of trade, therefore, from used historical search amount data, the volumes of searches data produced in nontransaction day can be removed, only be retained in the volumes of searches data produced the day of trade, be conducive to the precision improving volumes of searches data, so improve reference policy information instruct precision.
Further, in order to represent user's attention rate variation tendency of pending data object more intuitively, the historical search amount data of different indexs to pending data object can be adopted to process, concisely showing result clearly to obtain.
Wherein, a kind of index is index moving average (ExponentialMovingAverage, EMA):
Based on EMA index, a kind of historical search amount data according to pending data object, obtain the embodiment of user's attention rate variation tendency of pending data object, comprising:
Finger EMA process is carried out to the historical search amount data produced within the first setting period, to obtain an EMA line of the user's attention rate variation tendency reflecting pending data object, and EMA process is carried out to the historical search amount data produced within the second setting period, to obtain the 2nd EMA line of the user's attention rate variation tendency reflecting pending data object, wherein, the length of the first setting period is less than the length of the second setting period, this means, one EMA line can regard short-term EMA line as, and the 2nd EMA line can regard long-term EMA line as.
In the present embodiment, moving average analysis is the principle utilizing statistically moving average, averages process, to eliminate accidental fluctuation to the volumes of searches data of every day.EMA line adopts moving average analysis method, and the mean value of the historical search amount data in one period is linked to be curve, be used for showing the fluctuation situation of historical search amount, and then reflection user is to the attention rate situation of change of pending data object and variation tendency.
Because the time is the closer to current time, the information content of its historical search amount data should be larger, and index Moving Average considers this point, and carry out moving average with exponential form weighting of successively decreasing, its computing formula is as follows:
EMA(N)
t＝k*P
t+(1-k)*EMA(N)
t-1(1)
Wherein, EMA (N) is represented
trepresent the EMA value of t; EMA (N)
t-1represent the EMA value in t-1 moment; N is the time span producing historical search amount data, such as N days or N hour etc.; K is Smoothness Index.The EMA value in each moment is drawn, forms EMA line.
For stock, Fig. 3 a illustrates the EMA line that the historical search amount data of stock are corresponding and the 2nd EMA line, and Fig. 3 a clearly represents situation of change and the trend of historical search amount data.In fig. 3 a, an EMA line is dotted line, is the average line of N when getting 12; 2nd EMA line is solid line, is the average line of N when getting 26.In addition, Fig. 3 b shows the volatility schematic diagram of this stock.Fig. 3 a and Fig. 3 b is compared visible, an EMA line and the 2nd EMA line substantially consistent with volatility trend, meet the conclusion with positive correlation of aforementioned description.
Based on EMA index, a kind of user's attention rate variation tendency according to pending data object, the embodiment of generating reference policy information, comprising:
If an EMA line passes through the 2nd EMA line from lower to upper, generate the reference policy information that indicating user obtains pending data object;
If an EMA line passes through the 2nd EMA line from top to bottom, generate the reference policy information that indicating user produces pending data object.
For stock, an EMA line passes through the 2nd EMA line from lower to upper, means that share price goes up, so can advise that user buys in this stock, so generate the reference policy information that indicating user buys in this stock; If an EMA line passes through the 2nd EMA line from top to bottom, mean falling stock prices, so can advise that user sells this stock, so generate the reference policy information that indicating user sells this stock.Concerning stock, reference policy information mainly refers to the timing signals buying in or sell stock.
Another kind of index is: exponential smoothing similarities and differences moving average (MovingAverageConvergenceDivergence, MACD):
Based on MACD index, a kind of historical search amount data according to pending data object, obtain the embodiment of user's attention rate variation tendency of pending data object, comprising:
MACD process is carried out to the historical search amount data of pending data object, to obtain the MACD line of the user's attention rate variation tendency reflecting pending data object.
Wherein, MACD index is mainly based on to being polymerized and the analysis of separation case between short-term EMA line with long-term EMA line, and MACD index had both considered the tendency of data fluctuations, also can characterize the degree of strength of fluctuation simultaneously.In the present embodiment, MACD is used in historical search amount data, namely it exports can show whether pending data object is paid close attention to (size by its MACD value represents) by user, also can show the variation tendency of its user's attention rate, i.e. user's attention rate grow or die down gradually simultaneously.
Wherein, the concrete computation process of MACD value is as follows:
Calculate short-term EMA1 and long-term EMA2; Calculating about EMA1 and long-term EMA2 can see above-mentioned formula (1);
Calculate deviation value DIFF=EMA1-EMA2;
Calculate the EMA value of DIFF, i.e. DEA value;
Calculate MACD value=2* (DIFF-DEA).
Based on each MACD value curve plotting calculated, obtain MACD line.For MACD line, can select columnar alignment, the height of columnar alignment represents MACD value.Still for stock, the MACD line of user's attention rate variation tendency of reflection stock as shown in Figure 4.
Based on MACD index, a kind of user's attention rate variation tendency according to pending data object, a kind of embodiment of generating reference policy information, comprising:
If above-mentioned MACD line is negative from just becoming, generate the reference policy information that indicating user obtains pending data object;
If MACD line just becomes from negative, generate the reference policy information that indicating user produces pending data object.
For stock, if above-mentioned MACD line is from just becoming negative (namely becoming light color from dark color in Fig. 4), represents that the concerned degree of stock is more weak, meaning that share price will drop, therefore can advise that user sells this stock, so generate the reference policy information that indicating user sells this stock; If MACD line is just being become (namely becoming dark color from light color in Fig. 4) from negative, represent that the concerned degree of stock is stronger, mean that share price will rise, therefore can advise that user buys in this stock, so generate the reference policy information that indicating user buys in this stock.
Another index is: relatively strong and weak index (RelativeStrengthIndex, RSI):
Based on RSI index, a kind of historical search amount data according to pending data object, obtain the embodiment of user's attention rate variation tendency of pending data object, comprise
RSI process is carried out to the historical search amount data of pending data object, to obtain a RSI line of the user's attention rate variation tendency reflecting pending data object.
In the present embodiment, RSI index is used in historical search amount data, in order to show strong and weak situation and the variation tendency of user's attention rate of pending data object.
The concrete computation process of RSI index is as follows:
First find out the historical search amount data comprising and producing in the continuous n+1 day on the same day, deduct the historical search amount data of upper one day by the historical search amount data of every day, n difference can be obtained; Calculate the positive number sum in n difference, be A, and calculate the absolute value of the negative sum in n difference, be B; (2) calculate RSI value according to the following equation.
RSI＝A/(A+B)(2)
From above-mentioned formula (2), RSI index is actually and represents that the amplitude that historical search amount data upwards fluctuate accounts for total number percent fluctuated, and ratio means that more greatly user's attention rate is comparatively strong, and ratio is less means that user's attention rate is more weak.
Based on above-mentioned RSI index, a kind of user's attention rate variation tendency according to pending data object, the embodiment of generating reference policy information, comprising:
If a RSI line is greater than the first upper limit thresholding line, generate the reference policy information that indicating user produces pending data object;
If a RSI line is less than the first lower limit thresholding, generate the reference policy information that indicating user buys in pending data object.
Above-mentioned first upper limit thresholding is generally different from the first lower limit thresholding, but also can be identical.Illustrate, the first upper limit thresholding is the 70%, first lower limit thresholding can be 30%, but is not limited thereto.
For stock, when in historical search amount data RSI index being used in stock, what its value was shown is the strong and weak situation of user's attention rate of personal share: when the RSI value of historical search amount data is too high, such as be greater than default first upper limit thresholding, illustrate that user's attention rate of personal share is very high, currently have too much investor and buy in, may be the final stage that this share price is charged after a while, and cause the exhaustion of later stage share price kinetic energy, see empty signal, so suggestion user sells this stock, then generate the reference policy information that indicating user sells this stock; Otherwise in like manner.
In the above-described embodiment, when generating the reference policy information instructing user to process pending data object, only considering this parameter of historical search amount data, but being not limited thereto.Such as, the history service data of historical search amount data and pending data object can be combined, consider historical search amount data and history service data, generate the reference policy information instructing user to process pending data object.
Based on above-mentioned, a kind of user's attention rate variation tendency according to pending data object, the embodiment of generating reference policy information, comprising:
According to the history service data of pending data object, obtain the business datum variation tendency of pending data object;
Association analysis is carried out, with generating reference policy information to user's attention rate variation tendency and business datum variation tendency.
In the embodiment considering historical search amount data and history service data, above-mentioned each index can be adopted equally to process the historical search amount data of pending data object and history service data, to obtain and concisely to show result clearly, thus to represent user's attention rate variation tendency and the business datum variation tendency of pending data object more intuitively.
In one embodiment, can process, referred to as MACD interleaved scheme the historical search amount data of pending data object and history service data based on MACD index.Then, a kind of historical search amount data according to pending data object, the process obtaining user's attention rate variation tendency of pending data object comprises: carry out MACD process to these historical search amount data, to obtain the MACD line of reflection user attention rate variation tendency.Accordingly, a kind of history service data according to pending data object, the process obtaining the business datum variation tendency of pending data object comprises: carry out MACD process to history service data, to obtain DIFF line and the DEA line of reflection business datum variation tendency.
Based on above-mentioned, one carries out association analysis to user's attention rate variation tendency and business datum variation tendency, comprises with the process of generating reference policy information:
MACD line, DIFF line and DEA line are compared;
If DIFF line is worn DEA line, and MACD line is just, or MACD line is by just bearing change, and DIFF line is positioned at above DEA line, generates the reference policy information that indicating user obtains pending data object;
If wear DEA line under DIFF line, and MACD is negative, or MACD line is by just becoming negative, and DIFF line is positioned at below DEA line, generates the reference policy information that indicating user produces pending data object.
For stock, reflect the MACD line of user's attention rate variation tendency of stock shown in Fig. 5 shows and reflect DIFF line and the DEA line of the change of stock price trend.In Figure 5, columnar alignment represents MACD, and dotted line represents share price DEA line, and solid line represents share price DIFF line.According to above-mentioned principle, one is found to buy and sell timing signals interval in Figure 5, can find to adopt this MACD interleaved scheme successfully to avoid many invalid dealing timing signals points, improve the precision of generated reference policy information, be conducive to better instructing user to carry out stock exchange.Meanwhile, Fig. 3 b shows the change of stock price curve of this stock.Compare visible by Fig. 5 and Fig. 3 b, MACD line, DIFF line and DEA line are substantially consistent with volatility trend, meet the conclusion with positive correlation of aforementioned description.
In one embodiment, can process, referred to as RSI interleaved scheme the historical search amount data of pending data object and history service data based on RSI index.Then, a kind of historical search amount data according to pending data object, the process obtaining user's attention rate variation tendency of pending data object comprises: carry out RSI process to historical search amount data, to obtain a RSI line of reflection user attention rate variation tendency.Accordingly, a kind of history service data according to pending data object, the process obtaining the business datum variation tendency of pending data object comprises: carry out RSI process to history service data, to obtain the 2nd RSI line of reflection business datum variation tendency.
Based on above-mentioned, one carries out association analysis to user's attention rate variation tendency and business datum variation tendency, comprises with the process of generating reference policy information:
If a RSI line is greater than the first upper limit thresholding, and the 2nd RSI line is greater than the second upper limit thresholding, generates the reference policy information that indicating user produces pending data object;
If a RSI line is less than the first lower limit thresholding, and the 2nd RSI line is less than the second lower limit thresholding, generates the reference policy information that indicating user buys in pending data object.
For stock, Fig. 6 shows a RSI line of user's attention rate variation tendency of reflection stock and the 2nd RSI line of reflection the change of stock price trend.In figure 6, dotted line represents volumes of searches RSI line, i.e. a RSI line; Solid line represents share price RSI, i.e. the 2nd RSI line.Shown in Fig. 6, a dealing timing signals is interval, and this dealing timing signals interval also successfully can filter out and reasonably select time point position, is conducive to instructing user to trade security.Meanwhile, Fig. 3 b shows the change of stock price curve of this stock.Compare visible by Fig. 6 and Fig. 3 b, a RSI line, the 2nd RSI line are substantially consistent with volatility trend, meet the conclusion with positive correlation of aforementioned description.
What deserves to be explained is, adopt MACD interleaved scheme and RSI interleaved scheme not only can provide the reference policy information instructing user to process pending data object, and the precision of reference policy information can be improved, be conducive to processing pending data object user providing accuracy or the higher instruction of precision, be conducive to user and reasonably pending data object processed.
For the advantage that MACD interleaved scheme and RSI interleaved scheme have is described, below the application for technical scheme in stock application, by setting measurement index, and data illustrate the beneficial effect of technical scheme by experiment.
In an experiment, be using Shanghai and Shenzhen A-share totally 2733 stock originally to carry out the statistics of applicable cases as bulk sample, observe the beneficial effect that the application's two kinds of interleaved scheme are brought.
First, the concept in dealing cycle is defined.The application starts sending a new signal of buying, to next next-door neighbour sell signal, as a dealing cycle.Based on dealing period definition two measurement indexs:
Index 1: the personal share ratio (not comprising equal) effectively reducing dealing periodicity, namely compared with the existing guidance program based on share price, the number of share of stock adopting above-mentioned interleaved scheme can reduce the dealing cycle accounts for the number percent of stock sum.
Index 2: the personal share ratio (not comprising equal) effectively improving earning rate in the sample phase, the number of share of stock namely calculating interval earning rate raising in the whole sample phase accounts for the ratio of stock sum.
Above-mentioned two indices is added up, obtains result shown in table 1.
Table 1
| RSI intersects | MACD intersects | |
| Index 1 (%) | 31.77 | 89.3 |
| Index 2 (%) | 27.71 | 41.36 |
Known as shown in Table 1, compared with the existing scheme instructing user to trade security based on share price, adopt RSI interleaved scheme, the stock of 31.77% can be made to reduce dealing periodicity, and the interval earning rate of the stock of 27.71% can be made to increase.Known as shown in Table 1, compared with the existing scheme instructing user to trade security based on share price, adopt MACD interleaved scheme, the stock of 89.3% can be made to reduce dealing periodicity, and the interval earning rate of the stock of 41.36% can be made to increase.
In addition, the application also defines the concept of relative winning rate, and the winning rate namely adopting interleaved scheme to produce is greater than the number of share of stock of winning rate and the ratio of stock sum of the generation of existing employing share price.The present embodiment only considers the situation adopting interleaved scheme to promote to some extent compared to existing employing share price scheme winning rate, and the situation identical for two schemes winning rate is not considered, but is not limited thereto.
Winning rate is referred to, adopting the scheme of interleaved scheme and existing employing share price to instruct respectively to often propping up stock, obtaining the winning rate of this stock under different schemes.In the instruction course of often kind of scheme, to the Dealing Signal sent each time, the earning rate situation of 5 days thereafter that we observe this stock, and will " buy signal and send latter 5 days earning rates for just " roughly and " sell signal send latter 5 days earning rates be negative " to add up be win, otherwise be negative.Then, add up all victory of this stock and all negative number of times, and then obtain the final winning rate of this stock divided by total degree with the number of times won.Above-mentioned relative winning rate is added up, obtains result shown in table 2.
Table 2
| RSI intersects | MACD intersects | |
| Relative winning rate % | 48.43 | 45.50 |
Known as shown in Table 2, compared with the existing scheme instructing user to trade security based on share price, adopt RSI interleaved scheme, the winning rate of the stock of 48.43% can be made to promote to some extent; Adopt MACD scheme, the winning rate of the stock of 45.50% can be made to promote to some extent.
The comparison effect of different index above observation, can find that volumes of searches data and stock price information combine use by the application, really have and improve effect preferably, the frequency of dealing timing signals can be reduced on the one hand, on the other hand also can not the gain on investments of investor, even have and certain may promote gain on investments because filtering out the dealing timing signals of mistake.
It should be noted that, for aforesaid each embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and involved action and module might not be that the present invention is necessary.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part described in detail, can see the associated description of other embodiments.
The structural representation of the signal conditioning package that Fig. 7 provides for one embodiment of the invention.As shown in Figure 7, this device comprises: the first acquisition module 71, second acquisition module 72, generation module 73 and output module 74.
First acquisition module 71, for obtaining the historical search amount data of pending data object.
Second acquisition module 72, for the historical search amount data obtained according to the first acquisition module 71, obtains user's attention rate variation tendency of pending data object.
Generation module 73, for the user's attention rate variation tendency obtained according to the second acquisition module 72, generating reference policy information.
Output module 74, for exporting the reference policy information that generation module 73 generates, processes above-mentioned pending data object to instruct user.
In an Alternate embodiments, as shown in Figure 8, this device also comprises: filtering module 75.
Filtering module 75, for the historical search amount data obtained according to the first acquisition module 71 at the second acquisition module 72, before obtaining user's attention rate variation tendency of pending data object, the historical search amount data that first acquisition module 71 obtains are filtered, to remove the volumes of searches data produced in non-effective historical period.
In an Alternate embodiments, generation module 73 specifically can be used for:
According to the history service data of pending data object, obtain the business datum variation tendency of pending data object;
Association analysis is carried out, with generating reference policy information to user's attention rate variation tendency and business datum variation tendency.
In one embodiment, the second acquisition module 72 specifically can be used for: carry out MACD process to historical search amount data, to obtain the MACD line of reflection user attention rate variation tendency.
Accordingly, generation module 73 further specifically for:
MACD process is carried out to history service data, to obtain DIFF line and the DEA line of reflection business datum variation tendency;
MACD line, DIFF line and DEA line are compared;
If DIFF line is worn DEA line, and MACD line is just, or MACD line is by just bearing change, and DIFF line is positioned at above DEA line, generates the reference policy information that indicating user obtains pending data object;
If wear DEA line under DIFF line, and MACD is negative, or MACD line is by just becoming negative, and DIFF line is positioned at below DEA line, generates the reference policy information that indicating user produces pending data object.
In one embodiment, the second acquisition module 72 specifically can be used for: carry out RSI process to historical search amount data, to obtain a RSI line of reflection user attention rate variation tendency.
Accordingly, generation module 73 further specifically for:
RSI process is carried out to history service data, to obtain the 2nd RSI line of reflection business datum variation tendency;
If a RSI line is greater than the first upper limit thresholding, and the 2nd RSI line is greater than the second upper limit thresholding, generates the reference policy information that indicating user produces pending data object;
If a RSI line is less than the first lower limit thresholding, and the 2nd RSI line is less than the second lower limit thresholding, generates the reference policy information that indicating user buys in pending data object.
In an Alternate embodiments, second acquisition module 72 specifically can be used for: carry out index moving average EMA process to the historical search amount data produced within the first setting period, to obtain an EMA line of reflection user attention rate variation tendency, and EMA process is carried out to the historical search amount data produced within the second setting period, to obtain the 2nd EMA line of reflection user attention rate variation tendency, the length of the first setting period is less than the length of the second setting period.
Accordingly, generation module 73 specifically for:
If an EMA line passes through the 2nd EMA line from lower to upper, generate the reference policy information that indicating user obtains pending data object;
If an EMA line passes through the 2nd EMA line from top to bottom, generate the reference policy information that indicating user produces pending data object.
In an Alternate embodiments, the second acquisition module 72 specifically can be used for: carry out MACD process to historical search amount data, to obtain the MACD line of reflection user attention rate variation tendency.
Accordingly, generation module 73 specifically for:
If MACD line is negative from just becoming, generate the reference policy information that indicating user obtains pending data object;
If MACD line just becomes from negative, generate the reference policy information that indicating user produces pending data object.
In an Alternate embodiments, the second acquisition module 72 specifically can be used for: carry out RSI process to historical search amount data, to obtain a RSI line of the user's attention rate variation tendency reflecting pending data object.
Accordingly, generation module 73 specifically for:
If a RSI line is greater than the first upper limit thresholding, generate the reference policy information that indicating user produces pending data object;
If a RSI line is less than the first lower limit thresholding, generate the reference policy information that indicating user buys in pending data object.
The present embodiment does not limit the form of pending data object, such as, can be merchandise items, and such as mobile phone, computer, books, clothes or cosmetics etc., can also be the stage property in types of applications, also can be various financial product, such as stock or fund etc.
The signal conditioning package that the present embodiment provides, based on the historical search amount data of pending data object, obtain user's attention rate variation tendency of pending data object, according to user's attention rate variation tendency, generating reference policy information, export this reference policy information, to instruct user, this pending data object is processed.As can be seen here, the signal conditioning package that the present embodiment provides can process data object based on the historical search amount data-guiding user being different from history service data, provide a kind of mode instructing user to process data object newly, meet consumers' demand.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiment provided by the present invention, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form that hardware also can be adopted to add SFU software functional unit realizes.
The above-mentioned integrated unit realized with the form of SFU software functional unit, can be stored in a computer read/write memory medium.Above-mentioned SFU software functional unit is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) perform the part steps of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (Read-OnlyMemory, ROM), random access memory (RandomAccessMemory, RAM), magnetic disc or CD etc. various can be program code stored medium.
Last it is noted that above embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (18)
1. an information processing method, is characterized in that, comprising:
Obtain the historical search amount data of pending data object;
According to described historical search amount data, obtain user's attention rate variation tendency of described pending data object;
According to described user's attention rate variation tendency, generating reference policy information;
Export described reference policy information, to instruct user, described pending data object is processed.
2. method according to claim 1, is characterized in that, described according to described historical search amount data, before obtaining user's attention rate variation tendency of described pending data object, comprising:
Described historical search amount data are filtered, to remove the volumes of searches data produced in non-effective historical period.
3. method according to claim 1, is characterized in that, described according to described user's attention rate variation tendency, generating reference policy information, comprising:
According to the history service data of described pending data object, obtain the business datum variation tendency of described pending data object;
Association analysis is carried out, to generate described reference policy information to described user's attention rate variation tendency and described business datum variation tendency.
4. method according to claim 3, is characterized in that, described according to described historical search amount data, obtains user's attention rate variation tendency of described pending data object, comprising:
Exponential smoothing similarities and differences moving average MACD process is carried out to described historical search amount data, to obtain the MACD line reflecting described user's attention rate variation tendency;
The described history service data according to described pending data object, obtain the business datum variation tendency of described pending data object, comprising:
MACD process is carried out to described history service data, to obtain the DIFF line and DEA line that reflect described business datum variation tendency;
Described association analysis is carried out to described user's attention rate variation tendency and described business datum variation tendency, to generate described reference policy information, comprising:
Described MACD line, described DIFF line and described DEA line are compared;
If described DEA line worn by described DIFF line, and described MACD line is just, or described MACD line is by just bearing change, and described DIFF line is positioned at above described DEA line, generates the reference policy information that the described user of instruction obtains described pending data object;
If wear described DEA line under described DIFF line, and described MACD is negative, or described MACD line is by just becoming negative, and described DIFF line is positioned at below described DEA line, generates the reference policy information that the described user of instruction produces described pending data object.
5. method according to claim 3, is characterized in that, described according to described historical search amount data, obtains user's attention rate variation tendency of described pending data object, comprising:
Relatively strong and weak index RSI process is carried out to described historical search amount data, to obtain the RSI line reflecting described user's attention rate variation tendency;
The described history service data according to described pending data object, obtain the business datum variation tendency of described pending data object, comprising:
RSI process is carried out to described history service data, to obtain the 2nd RSI line of the described business datum variation tendency of reflection;
Described association analysis is carried out to described user's attention rate variation tendency and described business datum variation tendency, to generate described reference policy information, comprising:
If a described RSI line is greater than the first upper limit thresholding, and described 2nd RSI line is greater than the second upper limit thresholding, generates the reference policy information that the described user of instruction produces described pending data object;
If a described RSI line is less than the first lower limit thresholding, and described 2nd RSI line is less than the second lower limit thresholding, generates the reference policy information that the described user of instruction buys in described pending data object.
6. method according to claim 1, is characterized in that, described according to described historical search amount data, obtains user's attention rate variation tendency of described pending data object, comprising:
Index moving average EMA process is carried out to the historical search amount data produced within the first setting period, to obtain the EMA line reflecting described user's attention rate variation tendency, and EMA process is carried out to the historical search amount data produced within the second setting period, to obtain the 2nd EMA line reflecting described user's attention rate variation tendency, the length of described first setting period is less than the length of described second setting period;
Described according to described user's attention rate variation tendency, generating reference policy information, comprising:
If a described EMA line passes through described 2nd EMA line from lower to upper, generate the reference policy information that the described user of instruction obtains described pending data object;
If a described EMA line passes through described 2nd EMA line from top to bottom, generate the reference policy information that the described user of instruction produces described pending data object.
7. method according to claim 1, is characterized in that, described according to described historical search amount data, obtains user's attention rate variation tendency of described pending data object, comprising:
MACD process is carried out to described historical search amount data, to obtain the MACD line reflecting described user's attention rate variation tendency;
Described according to described user's attention rate variation tendency, generating reference policy information, comprising:
If described MACD line is negative from just becoming, generate the reference policy information that the described user of instruction obtains described pending data object;
If described MACD line just becomes from negative, generate the reference policy information that the described user of instruction produces described pending data object.
8. method according to claim 1, is characterized in that, described according to described historical search amount data, obtains user's attention rate variation tendency of described pending data object, comprising:
RSI process is carried out to described historical search amount data, to obtain a RSI line of the user's attention rate variation tendency reflecting described pending data object;
Described according to described user's attention rate variation tendency, generating reference policy information, comprising:
If a described RSI line is greater than the first upper limit thresholding, generate the reference policy information that the described user of instruction produces described pending data object;
If a described RSI line is less than the first lower limit thresholding, generate the reference policy information that the described user of instruction buys in described pending data object.
9. the method according to any one of claim 1-8, is characterized in that, described pending data object is stock.
10. a signal conditioning package, is characterized in that, comprising:
First acquisition module, for obtaining the historical search amount data of pending data object;
Second acquisition module, for according to described historical search amount data, obtains user's attention rate variation tendency of described pending data object;
Generation module, for according to described user's attention rate variation tendency, generating reference policy information;
Output module, for exporting described reference policy information, processes described pending data object to instruct user.
11. devices according to claim 10, is characterized in that, also comprise:
Filtering module, for filtering described historical search amount data, to remove the volumes of searches data produced in non-effective historical period.
12. devices according to claim 10, is characterized in that, described generation module specifically for:
According to the history service data of described pending data object, obtain the business datum variation tendency of described pending data object;
Association analysis is carried out, to generate described reference policy information to described user's attention rate variation tendency and described business datum variation tendency.
13. devices according to claim 12, is characterized in that, described second acquisition module specifically for:
Exponential smoothing similarities and differences moving average MACD process is carried out to described historical search amount data, to obtain the MACD line reflecting described user's attention rate variation tendency;
Described generation module further specifically for:
MACD process is carried out to described history service data, to obtain the DIFF line and DEA line that reflect described business datum variation tendency;
Described MACD line, described DIFF line and described DEA line are compared;
If described DEA line worn by described DIFF line, and described MACD line is just, or described MACD line is by just bearing change, and described DIFF line is positioned at above described DEA line, generates the reference policy information that the described user of instruction obtains described pending data object;
If wear described DEA line under described DIFF line, and described MACD is negative, or described MACD line is by just becoming negative, and described DIFF line is positioned at below described DEA line, generates the reference policy information that the described user of instruction produces described pending data object.
14. devices according to claim 12, is characterized in that, described second acquisition module specifically for:
Relatively strong and weak index RSI process is carried out to described historical search amount data, to obtain the RSI line reflecting described user's attention rate variation tendency;
Described generation module further specifically for:
RSI process is carried out to described history service data, to obtain the 2nd RSI line of the described business datum variation tendency of reflection;
If a described RSI line is greater than the first upper limit thresholding, and described 2nd RSI line is greater than the second upper limit thresholding, generates the reference policy information that the described user of instruction produces described pending data object;
If a described RSI line is less than the first lower limit thresholding, and described 2nd RSI line is less than the second lower limit thresholding, generates the reference policy information that the described user of instruction buys in described pending data object.
15. devices according to claim 10, is characterized in that, described second acquisition module specifically for:
Index moving average EMA process is carried out to the historical search amount data produced within the first setting period, to obtain the EMA line reflecting described user's attention rate variation tendency, and EMA process is carried out to the historical search amount data produced within the second setting period, to obtain the 2nd EMA line reflecting described user's attention rate variation tendency, the length of described first setting period is less than the length of described second setting period;
Described generation module specifically for:
If a described EMA line passes through described 2nd EMA line from lower to upper, generate the reference policy information that the described user of instruction obtains described pending data object;
If a described EMA line passes through described 2nd EMA line from top to bottom, generate the reference policy information that the described user of instruction produces described pending data object.
16. devices according to claim 10, is characterized in that, described second acquisition module specifically for:
MACD process is carried out to described historical search amount data, to obtain the MACD line reflecting described user's attention rate variation tendency;
Described generation module specifically for:
If described MACD line is negative from just becoming, generate the reference policy information that the described user of instruction obtains described pending data object;
If described MACD line just becomes from negative, generate the reference policy information that the described user of instruction produces described pending data object.
17. devices according to claim 10, is characterized in that, described second acquisition module specifically for:
RSI process is carried out to described historical search amount data, to obtain a RSI line of the user's attention rate variation tendency reflecting described pending data object;
Described generation module specifically for:
If a described RSI line is greater than the first upper limit thresholding, generate the reference policy information that the described user of instruction produces described pending data object;
If a described RSI line is less than the first lower limit thresholding, generate the reference policy information that the described user of instruction buys in described pending data object.
18. devices according to any one of claim 10-17, it is characterized in that, described pending data object is stock.
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